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dc.contributor.authorFake, Michael
dc.date.accessioned2019-05-09T21:48:30Z
dc.date.available2019-05-09T21:48:30Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/10182/10635
dc.description.abstractPlant community monitoring was conducted at Kaitorete Spit Scientific Reserve using UAS based remote sensing and traditional field-basedtechniques. Multispectral, high resolution UAS imagery was used as the basis for image classification. Different classification methods and data manipulation techniques were evaluated in order to present the most accurate representation of plant communities for comparison against those derived from the field data. Overall image classifcation results were on par with those from similar studies, however their suitability for application to the monitoring of the specific environmental and ecological conditions at Kaitorete Spit remains of low confidence. UAS imagery was able to be used to identify coarse scale ecological features which could then be used to define distinct ecological communities in a simlar but not identical manner to that of the field data. At a finer-scale, UAS imagery could detect some, but not all, key ecological features such as individual species or fine-scale indicators of diverse habitat types.en
dc.language.isoenen
dc.publisherLincoln Universityen
dc.rights.urihttps://researcharchive.lincoln.ac.nz/page/rights
dc.subjectremote sensingen
dc.subjectdroneen
dc.subjectimage classificationen
dc.subjectplant communitiesen
dc.subjectvegetationen
dc.subjectcoastalen
dc.subjectsand dunesen
dc.subjectordinationen
dc.subjectclusteringen
dc.subjectunmanned aerial vehicle (UAV)en
dc.subjectunmanned aircraft system (UAS)en
dc.subjecttwo-way indicator species analysis (TWINSPAN)en
dc.subjectKaitorete Spiten
dc.titleUnmanned aerial system derived multi-spectral imagery for the monitoring of coastal dune plant communitiesen
dc.typeThesisen
thesis.degree.grantorLincoln Universityen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Environmental Scienceen
lu.thesis.supervisorPatterson, Adrian
lu.contributor.unitDepartment of Pest Management and Conservationen
dc.subject.anzsrc050206 Environmental Monitoringen


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